mdmb: Model Based Treatment of Missing Data

Contains model-based treatment of missing data for regression models with missing values in covariates or the dependent variable using maximum likelihood or Bayesian estimation. The regression model can be nonlinear (e.g., including interaction or quadratic effects). Multiple imputation can be also conducted.

Version: 0.4-15
Depends: R (≥ 3.1)
Imports: CDM, coda, graphics, miceadds, sirt, stats, TAM, utils
Suggests: mice
Published: 2017-08-20
Author: Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Maintainer: Alexander Robitzsch <robitzsch at ipn.uni-kiel.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/alexanderrobitzsch/mdmb
NeedsCompilation: no
Citation: mdmb citation info
Materials: README NEWS
CRAN checks: mdmb results

Downloads:

Reference manual: mdmb.pdf
Package source: mdmb_0.4-15.tar.gz
Windows binaries: r-devel: mdmb_0.4-15.zip, r-release: mdmb_0.4-15.zip, r-oldrel: mdmb_0.4-15.zip
OS X El Capitan binaries: r-release: mdmb_0.4-15.tgz
OS X Mavericks binaries: r-oldrel: mdmb_0.4-15.tgz
Old sources: mdmb archive

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